Comments (1)
It may also depend on the plotting backend. For example:
import GR
using InteractBase
t = linspace(0,1,100)
x = linspace(-10,10,100)
@manipulate for j in eachindex(t)
GR.plot(x, sin.(t[j]*x))
end
updates instantaneously on my machine (but the machine has good specs and GR is a very efficient backend). I haven't been able to set up PyPlot here, so I can't really test it.
If the computation is too intense (for example let's say I have 10000
points in my plot), one trick is to throttle
, which means only update at a fixed time interval. Not sure what would be a good timestep, but you could try:
@manipulate throttle = 0.05 for j in eachindex(t) # update at most once every 0.05 secs
withfig(f1,clear=true) do
plot(x,sin.(t[j]*x))
end
end
from interactbase.jl.
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from interactbase.jl.